Methods and systems for evaluating handwritten documents

1. A method implementable on a computing device for evaluating a handwritten document, the method comprising: identifying a handwritten character in each of one or more text fields in a digital image by applying a character recognition technique, wherein the digital image is obtainable by scanning the handwritten document, wherein each of the one or more text fields are associated with a section, and wherein the one or more text fields have an associated predefined character type determinable based on the associated section; determining a character type of the identified handwritten character, wherein the character type of the identified handwritten character comprises at least one of a letter, a symbol, a number, or a special character; comparing the character type of the handwritten character, identified from a text field of the one or more text fields, with the predefined character type associated with the text field; validating the character type of the identified handwritten character in each of the one or more text fields based on the comparison; and recommending the identified handwritten character for each of the one or more text fields corresponding to the section, to a data-entry user, based on the validation.

2. The method of claim 1 , wherein the character recognition technique is an Intelligent Character Recognition (ICR).

3. The method of claim 1 further comprising creating an evaluation report based on the validation.

4. The method of claim 1 , wherein the recommendation is provided in a color different than the color of the handwritten character originally present in the handwritten document.

5. The method of claim 1 , wherein the recommendation is acceptable or over-writable.

6. The method of claim 1 , wherein the recommendation is provided at each keystroke during digitization of the handwritten document.

7. A system for evaluating a handwritten document, the system comprising: an image-processing module configured for identifying a handwritten character in each of one or more text fields from a digital image by applying a character recognition technique, wherein the digital image is obtainable by scanning the handwritten document, wherein each of the one or more text fields are associated with a section, and wherein the one or more text fields have an associated predefined character type determinable based on the associated section; a validation module configured for determining whether the handwritten document has been correctly filled, when a character type of the identified character matches with a predefined character type, wherein the matching is determined based on a comparison of the character type of the handwritten character identified from a text field with the predefined character type of the text field; and a recommendation module configured for recommending the identified handwritten character in each of the one or more text fields of a correctly filled handwritten document, to a data-entry user.

8. The system of claim 7 , wherein the character comprises at least one of one or more alphabetic characters, one or more numeric characters, one or more marks, or one or more hand-drawn drawings.

9. The system of claim 7 , wherein the image-processing module is further configured for facilitating the scanning of the handwritten document.

10. The system of claim 7 further comprising a database for storing the identified character from each of the one or more text fields and the associated predefined character types.

11. A non-transitory computer program product for use with a computer, the non-transitory computer program product comprising a computer readable program code for evaluating a handwritten document, the computer readable program code is executable by a processor in a computing device to: identify a handwritten character in each of the one or more text fields in a digital image by applying a character recognition technique, wherein the digital image is obtainable by scanning of the handwritten document, wherein each of the one or more text fields are associated with a section, and wherein the one or more text fields have an associated predefined character type determinable based on the associated section; determine a character type of the identified handwritten character, wherein a character type of the identified character comprises at least one of a letter, a symbol, a number, or a special character; compare the character type of the handwritten character, identified from a text field of the one or more text fields, with the predefined character type associated with the text field; validate the character type of the identified handwritten character in each of the one or more text fields based on the comparison; and recommend the identified handwritten character for each of the one or more text fields, to a data entry user, based on the validation.

12. The non-transitory computer program product of claim 11 , wherein the character recognition technique is an Intelligent Character Recognition (ICR).

13. The non-transitory computer program product of claim 11 , wherein the computer readable program code is further executable by the processor to create an evaluation report based on the validating.

14. The non-transitory computer program product of claim 11 , wherein the recommendation is provided in a color different from the color of the handwritten character originally present in the handwritten document.

15. The non-transitory computer program product of claim 11 , wherein the recommendation is acceptable or over-writable.

16. The non-transitory computer program product of claim 11 , wherein the recommendation is provided at each keystroke during digitalization of the handwritten document.